Changes in Mini Mental State Examination score after stroke: lacunar infarction predicts cognitive decline

2006 ◽  
Vol 13 (5) ◽  
pp. 491-495 ◽  
Author(s):  
P. Appelros ◽  
A. G. Andersson
Diagnostica ◽  
2000 ◽  
Vol 46 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Herbert Matschinger ◽  
Astrid Schork ◽  
Steffi G. Riedel-Heller ◽  
Matthias C. Angermeyer

Zusammenfassung. Beim Einsatz der Center for Epidemiological Studies Depression Scale (CES-D) stellt sich das Problem der Dimensionalität des Instruments, dessen Lösung durch die Konfundierung eines Teilkonstruktes (“Wohlbefinden”) mit Besonderheiten der Itemformulierung Schwierigkeiten bereitet, da Antwortartefakte zu erwarten sind. Dimensionsstruktur und Eignung der CES-D zur Erfassung der Depression bei älteren Menschen wurden an einer Stichprobe von 663 über 75-jährigen Teilnehmern der “Leipziger Langzeitstudie in der Altenbevölkerung” untersucht. Da sich die Annahme der Gültigkeit eines partial-credit-Rasch-Modells sowohl für die Gesamtstichprobe als auch für eine Teilpopulation als zu restriktiv erwies, wurde ein 3- bzw. 4-Klassen-latent-class-Modell für geordnete Kategorien berechnet und die 4-Klassen-Lösung als den Daten angemessen interpretiert: Drei Klassen zeigten sich im Sinne des Konstrukts “Depression” geordnet, eine Klasse enthielt jene Respondenten, deren Antwortmuster auf ein Antwortartefakt hinwiesen. In dieser Befragtenklasse wird der Depressionsgrad offensichtlich überschätzt. Zusammenhänge mit Alter und Mini-Mental-State-Examination-Score werden dargestellt. Nach unseren Ergebnissen muß die CES-D in einer Altenbevölkerung mit Vorsicht eingesetzt werden, der Summenscore sollte nicht verwendet werden.


Brain ◽  
2020 ◽  
Author(s):  
Dario Arnaldi ◽  
Andrea Chincarini ◽  
Michele T Hu ◽  
Karel Sonka ◽  
Bradley Boeve ◽  
...  

Abstract This is an international multicentre study aimed at evaluating the combined value of dopaminergic neuroimaging and clinical features in predicting future phenoconversion of idiopathic REM sleep behaviour (iRBD) subjects to overt synucleinopathy. Nine centres sent 123I-FP-CIT-SPECT data of 344 iRBD patients and 256 controls for centralized analysis. 123I-FP-CIT-SPECT images were semiquantified using DaTQUANTTM, obtaining putamen and caudate specific to non-displaceable binding ratios (SBRs). The following clinical variables were also analysed: (i) Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale, motor section score; (ii) Mini-Mental State Examination score; (iii) constipation; and (iv) hyposmia. Kaplan-Meier survival analysis was performed to estimate conversion risk. Hazard ratios for each variable were calculated with Cox regression. A generalized logistic regression model was applied to identify the best combination of risk factors. Bayesian classifier was used to identify the baseline features predicting phenoconversion to parkinsonism or dementia. After quality check of the data, 263 iRBD patients (67.6 ± 7.3 years, 229 males) and 243 control subjects (67.2 ± 10.1 years, 110 males) were analysed. Fifty-two (20%) patients developed a synucleinopathy after average follow-up of 2 years. The best combination of risk factors was putamen dopaminergic dysfunction of the most affected hemisphere on imaging, defined as the lower value between either putamina (P < 0.000001), constipation, (P < 0.000001) and age over 70 years (P = 0.0002). Combined features obtained from the generalized logistic regression achieved a hazard ratio of 5.71 (95% confidence interval 2.85–11.43). Bayesian classifier suggested that patients with higher Mini-Mental State Examination score and lower caudate SBR asymmetry were more likely to develop parkinsonism, while patients with the opposite pattern were more likely to develop dementia. This study shows that iRBD patients older than 70 with constipation and reduced nigro-putaminal dopaminergic function are at high risk of short-term phenoconversion to an overt synucleinopathy, providing an effective stratification approach for future neuroprotective trials. Moreover, we provide cut-off values for the significant predictors of phenoconversion to be used in single subjects.


2018 ◽  
Vol 31 (2) ◽  
pp. 84-89 ◽  
Author(s):  
Juliana Hack ◽  
Daphne Eschbach ◽  
Rene Aigner ◽  
Ludwig Oberkircher ◽  
Steffen Ruchholtz ◽  
...  

Objective: The aim of this study was to identify factors that are associated with cognitive decline in the long-term follow-up after hip fractures in previously nondemented patients. Methods: A consecutive series of 402 patients with hip fractures admitted to our university hospital were analyzed. After exclusion of all patients with preexisting dementia, 266 patients were included, of which 188 could be examined 6 months after surgery. Additional to several demographic data, cognitive ability was assessed using the Mini-Mental State Examination (MMSE). Patients with 19 or less points on the MMSE were considered demented. Furthermore, geriatric scores were recorded, as well as perioperative medical complications. Mini-Mental State Examination was performed again 6 months after surgery. Results: Of 188 previously nondemented patients, 12 (6.4%) patients showed a cognitive decline during the 6 months of follow-up. Multivariate regression analysis showed that age ( P = .040) and medical complications ( P = .048) were the only significant independent influencing factors for cognitive decline. Conclusions: In our patient population, the incidence of dementia exceeded the average age-appropriate cognitive decline. Significant independent influencing factors for cognitive decline were age and medical complications.


2020 ◽  
pp. 102986492091863
Author(s):  
Daisy Fancourt ◽  
Katharina Geschke ◽  
Andreas Fellgiebel ◽  
Alexandra Wuttke-Linnemann

Background: Music training has been found to be beneficial for young and healthy participants but the associations between musical training and the cognitive functioning of elderly participants have not been reported consistently. We examined whether lifetime musical training is associated with neuropsychological performance in a memory clinic population of older patients. Methods: A total of 478 patients (54.2% female, mean age 73.70 ± 6.22, mean Mini Mental State Examination score 25 ± 3) were included in the cross-sectional analyses. All patients were referred to the memory clinic due to cognitive impairments. During the course of diagnosis, all patients underwent neuropsychological tests using the CERAD neuropsychological assessment battery. Patients provided information on whether they ever learned to play an instrument for at least five years in their life. Results: Neuropsychological test results differed based on musical training ( p = .042). Overall, there were no differences in any domains of cognitive functioning, other than that patients with musical training performed worse on word list memory ( p = .008). However, this relationship varied based on the extent of cognitive impairments. Patients who were cognitively unimpaired (Mini Mental State Examination score 27–30) and had musical training showed better word list learning, whereas patients with cognitive impairments (Mini Mental State Examination score < 27) and musical training performed worse in word list learning ( p = .042) and word list recall ( p = .045). Discussion: Overall, there was little evidence of associations between specific neuropsychological test results and musical training. Only in cognitively unimpaired patients was there evidence that musical training had beneficial associations. In patients with cognitive impairment, there were suggestions of negative associations with verbal memory. Future research should longitudinally investigate the beneficial effects of musical training in people with and without cognitive impairments.


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